Cut a long video into clips

One recording, ten posts. The analyser finds the moments worth cutting, and advibly_render_composition does the cutting with per-scene trims.

The whole read side is free. You pay 0.4 credits per clip cut, plus captions.

Rank the moments

advibly_analyze_video {
  video_url: "https://www.youtube.com/watch?v=...",
  format: "moments",
  question: "Find the strongest standalone clips for vertical social - a claim, a story, or a contrarian take that needs no setup.",
  context: "Ranking the highlights of the user's long recording so the strongest standalone moments can be cut into social clips."
}
  → analysis_id, moments[]: start, end, why

moments is the format built for exactly this: ranked highlights for clipping and re-hooking. The question steers what counts as strong.

A two-hour webinar is fine. The analyser reads the transcript, then zooms into the frames that matter rather than sampling the whole file.

Ask follow-ups with follow_up_of: analysis_id and a question. The video is already in that analysis's context, which makes every extra question far cheaper than a second full pass.

Verify the cut points before spending

Timestamps are the model's estimate, and a clip that starts mid-word is a wasted render. Confirm the boundaries of each moment you intend to cut:

advibly_analyze_video {
  follow_up_of: analysis_id,
  question: "For the moment at 18:42, give the exact second the speaker starts that sentence and the exact second they finish it.",
  thinking: "high",
  context: "Confirming exact sentence boundaries for a chosen highlight so the cut clip starts and ends cleanly."
}

thinking: "high" is worth it for counting and exact-timestamp questions.

Open a project

advibly_create_project {
  brand_id,
  name: "Q3 webinar clips",
  context: "Grouping every clip cut from the user's long recording into one project in their library."
}
  → project_id

Ten clips and ten captioned versions is twenty files. One tile is better.

Cut each moment

One render per clip, one scene, trimmed:

advibly_render_composition {
  brand_id,
  project_id,
  scenes: [
    {
      source: "https://.../webinar.mp4",
      trim_start_seconds: 1122.0,
      trim_end_seconds: 1166.5
    }
  ],
  texts: [
    { content: "The part nobody tells you", start_seconds: 0, duration_seconds: 2.5, position: "top", size: "lg" }
  ],
  context: "Cutting the confirmed highlight out of the long recording as a standalone social clip with its hook card."
}

Flat 0.4 credits, one to three minutes. source is a generation id or a direct https video URL.

The result is saved as a new video generation and as an editable composition. Hand the user its edit_url when the framing needs a human eye.

Caption every clip

advibly_add_subtitles {
  brand_id,
  project_id,
  video: clipGenerationId,
  preset: "glide",
  context: "Burning captions into the cut clip so it reads with sound off in a social feed."
}

Billed per started minute, minimum one minute, so a 40-second clip and a 55-second clip cost the same. Dynamic presets are 0.4 credits/min and animated, basic presets 0.2 and static; the style sheet shows all of them.

Add translation_language to caption in a different language than the audio (+0.4 credits/min), and vocabulary for names the transcriber mishears.

Stitch, when the ask is a compilation

advibly_stitch_videos {
  brand_id,
  project_id,
  clips: [clip1, clip2, clip3],
  context: "Joining the selected clips into one compilation reel in the order the user approved."
}

Free, 2 to 12 clips, hard cuts in the order given. The output takes the first clip's aspect ratio and mismatched clips get letterboxed, so put a correctly-shaped clip first.

Next

• Send the set out: Schedule a week of posts.
• Read the source as an ad instead of a recording: Recreate an ad you like.